Mario Alia
Impact in
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- Transition Metal Oxide Nanomaterials
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- 2D Materials and Applications
- MXene and MAX Phase Materials
- ZnO doping and properties
- Graphene research and applications
Papers in
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- Advanced Memory and Neural Computing 2
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- 2D Materials and Applications 4
- ZnO doping and properties 2
- MXene and MAX Phase Materials 2
- Co-authors
- M. Fanciulli (7 shared papers)Alessio Lamperti (6 shared papers)Massimo Longo (7 shared papers)Hong-Liang Lü (3 shared papers)Alessandro Molle (5 shared papers)E. Cianci (3 shared papers)Eugenio Cinquanta (2 shared papers)Christian Martella (4 shared papers)
In The Last Decade
Mario Alia
12 papers receiving 335 citations
Peers
Comparison fields: 5 of 26
- Polymers and Plastics 78
- Materials Chemistry 242
- Electrical and Electronic Engineering 207
- Electronic, Optical and Magnetic Materials 32
- Atomic and Molecular Physics, and Optics 47
Countries citing papers authored by Mario Alia
This map shows the geographic impact of Mario Alia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mario Alia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Alia more than expected).
Fields of papers citing papers by Mario Alia
This network shows the impact of papers produced by Mario Alia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mario Alia. The network helps show where Mario Alia may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Alia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2008 | 59 | |
| 3 | 2008 | 52 | |
| 4 | 2016 | 44 | |
| 5 | 2021 | 32 | |
| 6 | 2020 | 23 | |
| 7 | 2008 | 23 | |
| 8 | 2015 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2024 | 4 | |
| 11 | 超薄Mo系固体膜の硫化によるMoS 2 ナノシートの均一かつ大規模な堆積に向けて | 2016 | 3 |
| 12 | 2021 | 1 |
About Mario Alia
Mario Alia is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Polymers and Plastics and Condensed Matter Physics, having authored 12 papers that have together received 340 indexed citations. Recurring topics across this work include 2D Materials and Applications (4 papers), Transition Metal Oxide Nanomaterials (3 papers), Advanced Condensed Matter Physics (2 papers), ZnO doping and properties (2 papers), Topological Materials and Phenomena (2 papers), Advanced Memory and Neural Computing (2 papers), MXene and MAX Phase Materials (2 papers) and Magnetic properties of thin films (2 papers). The work is most often cited by research in Polymers and Plastics (78 citations), Materials Chemistry (242 citations), Electrical and Electronic Engineering (207 citations), Electronic, Optical and Magnetic Materials (32 citations) and Atomic and Molecular Physics, and Optics (47 citations). Mario Alia has collaborated with scholars based in Italy, Greece and China. Frequent co-authors include M. Fanciulli, Alessio Lamperti, Massimo Longo, Hong-Liang Lü, Alessandro Molle, E. Cianci, Eugenio Cinquanta, Christian Martella, Claudia Wiemer and S. Vangelista. Their work appears in journals such as Microelectronic Engineering, Nanotechnology, Surface and Coatings Technology, Applied Physics Letters and Materials.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.